Summary

In this chapter, we explored the application of GenAI to summarize client applications in the financial services industry. We kicked things off by defining the problem statement, where financial institutions need to efficiently review and distill key information from lengthy client applications while ensuring regulatory compliance.

We highlighted the value of GenAI-driven summarization in this context, enabling the extraction of salient details, streamlining downstream processes, and facilitating better-informed decision-making while adhering to compliance standards.

Next, we proposed a cloud-native, serverless architecture on Google Cloud to handle the batch processing of client applications for summarization. This scalable setup leverages various services, including Cloud Storage, Pub/Sub, Cloud Functions, and databases like BigQuery or Cloud Firestore, allowing for seamless integration of the AI model and storage of the generated summaries.

We then delved into...